Knowledge-based part correspondence
Pattern Recognition
Skeleton Pruning by Contour Partitioning with Discrete Curve Evolution
IEEE Transactions on Pattern Analysis and Machine Intelligence
A Unified Curvature Definition for Regular, Polygonal, and Digital Planar Curves
International Journal of Computer Vision
Dissimilarity between two skeletal trees in a context
Pattern Recognition
Symmetry of Shapes Via Self-similarity
ISVC '08 Proceedings of the 4th International Symposium on Advances in Visual Computing, Part II
Mumford-Shah regularizer with contextual feedback
Journal of Mathematical Imaging and Vision
GbRPR '09 Proceedings of the 7th IAPR-TC-15 International Workshop on Graph-Based Representations in Pattern Recognition
Hierarchical Shape Decomposition via Level Sets
ISMM '09 Proceedings of the 9th International Symposium on Mathematical Morphology and Its Application to Signal and Image Processing
A skeleton family generator via physics-based deformable models
IEEE Transactions on Image Processing
EMMCVPR'07 Proceedings of the 6th international conference on Energy minimization methods in computer vision and pattern recognition
Shape classification based on skeleton path similarity
EMMCVPR'07 Proceedings of the 6th international conference on Energy minimization methods in computer vision and pattern recognition
A similarity-based approach for shape classification using Aslan skeletons
Pattern Recognition Letters
Skeleton growing and pruning with bending potential ratio
Pattern Recognition
A game theoretic approach to learning shape categories and contextual similarities
SSPR&SPR'10 Proceedings of the 2010 joint IAPR international conference on Structural, syntactic, and statistical pattern recognition
Bone graphs: Medial shape parsing and abstraction
Computer Vision and Image Understanding
Skeleton comparisons: the junction neighbourhood histogram
Proceedings of the 11th ACM symposium on Document engineering
Skeleton graph matching based on critical points using path similarity
ACCV'09 Proceedings of the 9th Asian conference on Computer Vision - Volume Part III
From a modified ambrosio-tortorelli to a randomized part hierarchy tree
SSVM'11 Proceedings of the Third international conference on Scale Space and Variational Methods in Computer Vision
Empirical mode decomposition on skeletonization pruning
Image and Vision Computing
From a Non-Local Ambrosio-Tortorelli Phase Field to a Randomized Part Hierarchy Tree
Journal of Mathematical Imaging and Vision
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We present a new axis-based shape representation scheme along with a matching framework to address the problem of generic shape recognition. The main idea is to define the relative spatial arrangement of local symmetry axes and their metric properties in a shape centered coordinate frame. The resulting descriptions are invariant to scale, rotation, small changes in viewpoint and articulations. Symmetry points are extracted from a surface whose level curves roughly mimic the motion by curvature. By increasing the amount of smoothing on the evolving curve, only those symmetry axes that correspond to the most prominent parts of a shape are extracted. The representation does not suffer from the common instability problems of the traditional connected skeletons. It captures the perceptual qualities of shapes well. Therefore finding the similarities and the differences among shapes becomes easier. The matching process gives highly successful results on a diverse database of 2D shapes.